492 results about "Digital video" patented technology

The invention discloses a short video editing synthesis method based on fuzzy logic. The method comprises the following steps: S1, carrying out digital video preprocessing on an input original short video; s2, forming a short video feature data set; s3, generating a fuzzy logic decision result; s4, performing multi-target and multi-parameter optimization on the fuzzy logic decision result by adopting a random score programming method to form an optimized editing parameter set; s5, generating a preliminarily synthesized short video; s6, generating a video quality evaluation result; and S7, carrying out iterative optimization on the preliminarily synthesized short video according to a video quality evaluation result, adjusting the editing parameters and re-executing the editing synthesis step until the video quality evaluation result meets a preset standard, and generating a final edited finished product. According to the method, the editing scheme can achieve the best balance in the aspects of visual rhythm, information integrity and emotion expression consistency.

This item is a digital video camera used for cinema shooting and the like with interchangeable lenses.

The invention belongs to the technical field of computer vision and digital video processing, and discloses a video object segmentation method based on query adaptive attention and discriminative memory, which comprises the following steps: step 1, constructing a video data set and preprocessing data; step 2, constructing a video object segmentation model combining multi-scale semantic feature integration and query adaptive discriminant enhancement, and training the video object segmentation model; step 3, video object segmentation reasoning; performing target segmentation reasoning on the preprocessed video sequence, outputting a frame-by-frame target segmentation mask, and generating a time sequence tracking result; 4, exporting, deploying and applying the model; through lightweight network design and a discriminative memory optimization strategy, the model is deployed to edge equipment, and real-time segmentation and visualization are realized. According to the method, on one hand, comprehensive target representation is provided on multi-scale feature extraction, and on the basis of the characteristic that only high-confidence target features are stored, error propagation is avoided, and the long-term segmentation stability of the method is ensured.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for capturing snapshots of digital content displayed on a client device and searching through the captured content. The disclosed systems provide a search function for effectively traveling back in time to identify digital content previously displayed on a client device. The disclosed systems provide options for capturing snapshots of content displayed on a display screen, extracting data from the snapshots, and storing the snapshots for use when populating search results. The disclosed systems utilize machine learning models to extract text and / or to generate text versions of snapshots including extracted text, descriptions of images, transcripts of videos, and / or textual summaries from displayed documents or webpages. In response to a search query, the disclosed systems can produce search results that include digital videos including captured snapshots of content displayed by a client device over time.

Devices, systems, and methods for digital video coding, which includes matrix-based intra prediction methods for video coding, are described. In a representative aspect, a method for video processing includes performing a conversion between a current video block of a video and a bitstream representation of the current video block according to a rule, where the rule specifies a relationship between applicability of a matrix based intra prediction (MIP) mode or a transform mode during the conversion, where the MIP mode includes determining a prediction block of the current video block by performing, on previously coded samples of the video, a boundary downsampling operation, followed by a matrix vector multiplication operation, and selectively followed by an upsampling operation, and where the transform mode specifies use of a transform operation for the determining the prediction block for the current video block.

A transmitter includes a distributor that receives a stream of digital video samples and distributes these samples into vectors in a buffer per a permutation. A digital-to-analog converter (DAC) per vector receives from its corresponding vector the digital video samples and converts the digital video samples into analog video samples. Each source driver includes a collector that receives analog video samples from each DAC and stores the analog video samples of the corresponding vector, and amplifiers that receive the stored analog video samples in parallel from the collector and amplifies the stored analog video samples onto a column of the display panel. An AR / VR headset uses analog video transport to its processor, and from the processor to a display of the visor. Analog video transport is used between a camera and processor and between processor and display. Analog video is transmitted to or within the headset wired or wirelessly.

The invention discloses a high-quality cultural relic digital video three-dimensional reconstruction method and system, and the method comprises the steps: obtaining the video data of a cultural relic, and enabling the video data to comprise a frame image under a time sequence; obtaining a relative pose of the frame image, wherein the relative pose is a camera pose of each frame image relative to the first frame image; segmenting the frame image to obtain segments, and sharing a plurality of front frame images and a plurality of rear frame images in the segments with a front segment and a rear segment respectively; generating corresponding Gaussian ellipsoid distribution according to each segment; and combining the Gaussian ellipsoid distribution to obtain final Gaussian ellipsoid distribution, namely a three-dimensional model of the cultural relic.

Devices, systems and methods for digital video coding, which includes matrix-based intra prediction methods for video coding, are described. In a representative aspect, a method for video processing includes performing a conversion between a current video block of a video and a bitstream representation of the current video block according to a rule, where the rule specifies a relationship between applicability of a matrix based intra prediction (MIP) mode or a transform mode during the conversion, where the MIP mode includes determining a prediction block of the current video block by performing, on previously coded samples of the video, a boundary downsampling operation, followed by a matrix vector multiplication operation, and selectively followed by an upsampling operation, and where the transform mode specifies use of a transform operation for the determining the prediction block for the current video block.

Digital video editing techniques are described that are based on a target digital image. In one or more implementations, inputs are received. The inputs include a target text prompt, a target digital image depicting a target object, and a source digital video having a plurality of frames depicting a source object. Regions-of-interest are identified in the plurality of frames of the source digital video, respectively, based on the target text prompt and the target digital image using a machine-learning model, e.g., a diffusion model. A plurality of frames of a target digital video are generated as having the target object using a generative machine-learning model. The generating is based on the regions-of-interest, the target digital image, the source digital video, and a source text prompt describing the source digital video.

The present disclosure relates to systems, methods, and non-transitory computer-readable media for segmenting a digital video to segment a digital video by employing a chapterization approach to video transcripts based on contextual data from audio signals and video signals together. In some embodiments, the disclosed systems can extract various types of audio signals and various types of video signals from a digital video. From the extracted signals, the disclosed systems can determine a set of break points to segment a video transcript. In some embodiments, the disclosed systems can further recommend, via a notification on a client device, inserting corresponding breaks from the segmented transcript into the digital video.

Disclosed herein are systems and method for curating and distributing digital content; including: digital video, music, pictures, etc. For example, presented herein are systems and methods for providing a digital content program, including a plurality of continuously provided digital assets streamed over a digital content platform. Example embodiments include: (a) curating a plurality of assets; (b) selecting a subset of assets from the plurality of assets, based on similarity metrics between assets; and (c) ordering the subset of assets into a digital content program.

The embodiment of the invention provides a digital video monitoring data transmission synchronization method and system, and relates to the technical field of digital video monitoring data transmission synchronization, and the method comprises the steps: receiving a video data stream and an external sensor data stream which is related to the content of the video data stream and has an independent stable time synchronization mechanism; identifying a visual event from the video data stream, and identifying a physical event associated with the visual event from the external sensor data stream; taking the timestamp of the physical event as a time anchor point, obtaining a visual original timestamp of the visual event, and calculating the time deviation of the video data stream according to the time anchor point and the visual original timestamp; based on the time deviation, correcting the frame timestamp of the video data stream by adopting an adaptive weighted average or filtering strategy to obtain a corrected timestamp; and fusing the corrected timestamps to obtain a global time reference. The reliability of the monitoring data and the accuracy of the analysis result can be improved.

One variation of a method includes, during a pause event that pauses playback of a digital video rendered within a display of a primary device: triggering playback of a video advertisement rendered in replacement of the digital video during the pause event; and, during playback of the video advertisement, rendering a digital identifier within the display, the digital identifier including a pointer to an electronic document including content associated with the video advertisement. The method further includes, during playback of the video advertisement, in response to a scan event that captures the digital identifier and initiated at a secondary device distinct from the primary device: pausing playback of the video advertisement at the primary device; triggering playback of the digital video, in replacement of the video advertisement, at the primary device; and triggering the secondary device to navigate to the electronic document based on the pointer.

An archive model can be used for managing networked storage of recorded content, such as network DVR (digital video recorder) content. Content may be initially recorded to an active storage device, with individual duplicate copies recorded for each requesting user, and subsequently archived to an archive storage device. For playback, the content can be reconstituted into the active storage device prior to delivery to the requesting user. Content can be predictively reconstituted in anticipation of user needs, and the reconstitution capacity of the system can be dynamically reallocated for load balancing.

Devices, systems and methods for digital video coding, which includes matrix-based intra prediction methods for video coding, are described. In a representative aspect, a method for video processing includes performing a first determination whether a luma video block of a video is coded using a matrix based intra prediction (MIP) mode; performing a second determination that the luma video block is applicable for determining a chroma intra mode for a current chroma video block of the video; performing, based on the first determination and the second determination, a third determination about the chroma intra mode to be used for the current chroma video block; and performing, based on the third determination, a conversion between the current chroma video block and a bitstream representation of the current chroma video block.

Disclosed herein are methods, systems, and computer-readable media for training a machine learning model to label unlabeled data and / or perform automated actions. In an embodiment, a method comprises receiving unlabeled digital video data, generating pseudo-labels for the unlabeled digital video data, the generating comprising receiving labeled digital video data, training an inverse dynamics model (IDM) using the labeled digital video data, and generating at least one pseudo-label for the unlabeled digital video data, wherein the at least one pseudo-label is based on a prediction, generated by the IDM, of one or more actions that mimic at least one timestep of the unlabeled digital video data. In some embodiments, the method further comprises adding the at least one pseudo-label to the unlabeled digital video data and further training the IDM or a machine learning model using the pseudo-labeled digital video data.

The invention discloses an adaptive video restoration method based on a digital video technology, and relates to the technical field of image communication. The method comprises the following steps: preprocessing an original video containing hard subtitles and automatically removing the hard subtitles to obtain a video to be repaired; screening a reference frame and a to-be-repaired frame by comparing the original video with the to-be-repaired video; determining a to-be-repaired area according to the pixel gray scale difference; extracting matched feature points, calculating a reference motion vector, estimating possible positions and motion differences of points in the to-be-repaired region in combination with object structure segmentation and region prediction, and generating a corrected motion vector; performing sub-pixel-level interpolation by using the vector, and constructing a corrected reference image; and finally, fusing the corrected image and the to-be-repaired area to generate a repaired video frame. The method can effectively improve the restoration quality of the subtitle shielded area.

A wearable digital video camera (10) is equipped with wireless connection protocol and global navigation and location positioning system technology to provide remote image acquisition control and viewing. The Bluetooth® packet-based open wireless technology standard protocol (400) is preferred for use in providing control signals or streaming data to the digital video camera and for accessing image content stored on or streaming from the digital video camera. The GPS technology (402) is preferred for use in tracking of the location of the digital video camera as it records image information. A rotating mount (300) with a locking member (330) on the camera housing (22) allows adjustment of the pointing angle of the wearable digital video camera when it is attached to a mounting surface.

Systems, apparatus, and methods for post-processing video e.g. frame denoising. Noise reduction techniques may be employed to improve the quality of digital video. Frames may be extracted from a video. Synthetic frames may be created using motion data between the extracted frames. Synthetic frames may be masked to exclude pixels from the composite frame. Thresholds used in masking may vary based on the temporal distance of the extracted frame used to create the synthetic frame and the extracted frame. Masking may be based on frame differences between extracted and synthetic frames (e.g., sub-pixel / luminance differences), areas of lower quality motion data (e.g., occlusions), or edge detection in the extracted frames. Synthetic and extracted frames may be composited generating frames having less noise. The composited frame may be based on averaging pixel values across the synthetic and extracted frames. Composited frames may be compiled and encoded into denoised video.

The invention discloses a high-definition real-time digital video monitoring system for realizing abnormal behavior recognition, relates to the technical field of communication, and solves the technical problem of improving the abnormal behavior recognition capability. The system comprises a video acquisition module, a preprocessing module, an analysis module, an abnormity determination module, an alarm module, a storage management module and a dynamic interaction module. According to the invention, the dynamic range of video acquisition is optimized through a quantum dot sensor array technology and an ambient light adaptive adjustment technology, multi-target detection tracking is realized through a YOLOv5 algorithm and a DeepSORT algorithm, and behavior characteristics are extracted in combination with a space-time diagram convolutional network. And through a rule and lightweight deep learning abnormity determination module, the identification accuracy is improved so as to ensure stable operation and real-time response capability in a complex scene. And the real-time identification capability of the digital video is greatly improved.

A method of and system for conserving power of a battery in a battery-powered electronic device capable of wireless communications are disclosed. The electronic device, which can be a digital video camera or other component of a monitoring system or an HVAC controller, an appliance, or another aspect of a smart home system, is wirelessly communicable with one or more hubs over a wireless local area network. The electronic device has at least a high power radio and a low power radio operating at different frequencies. Communications switch from the high power radio to the low power radio upon the occurrence of a trigger event such as battery charge dropping below a designated threshold. The electronic device may be part of a WLAN coupled to a WAN via the Internet and a cellular network.

Systems and methods for detecting artificial intelligence generated images are provided. The system accepts an input image (e.g., a digital still image, or a frame from a digital video file or image stream) and subdivides the input image into a set of patches using a patch partitioning algorithm. The system then processes each patch and produces a feature embedding for each patch within a high dimension space. The system then utilizes these patches with further processing as input to machine learning models, which allows the system to achieve image, patch-level, and video-frame generated image classification and localization alongside identification of the generative model used to synthesize the image.

In some aspects, a method is described. The method can include receiving frame-based video comprising a series of frames, encoding the frame-based video into threaded video, and storing the thread based data in a memory device, where the threaded video is sparser than the frame-based video. Encoding the frame-based video into threaded video can include converting the frame-based video into a domain space, and generating a set of tiles, each tile of the set of tiles corresponding to a sub-space within the series of frames. The method can include generating a set of control points while traversing a driving parameter of the series of frames based on a delta.

Devices, systems and methods for digital video coding, which include sub-block based inter prediction methods, are described. An exemplary method for video processing includes determining, for a conversion between a current block of video and a bitstream representation of the video, a maximum number of candidates in a sub-block based merge candidate list and / or whether to add sub-block based temporal motion vector prediction (SbTMVP) candidates to the sub-block based merge candidate list based on whether temporal motion vector prediction (TMVP) is enabled for use during the conversion or whether a current picture referencing (CPR) coding mode is used for the conversion, and performing, based on the determining, the conversion.

1. Name of the designed product: main body of digital video camera 2. Use of the designed product: used as digital video camera with replaceable lens for movie shooting, etc.; use of partial design: used as main body of digital video camera. 3. Design points of the designed product: in shape. 4. Picture or photo best showing the design points: perspective view.

An automated system to monitor and maintain the water quality in the Technology Cooling System of a liquid cooling system for computer servers. The ACQ system includes a side stream flow system with banks of chemical sensors, digital video recording, PLC control systems, chemical addition tanks, valves, injection manifold, chemical verification of additive methods, injection manifolds, filters, and alert systems. Water is monitored in the flow loop with sensors to establish a baseline chemical profile. Changes in water chemistry or at periodic intervals trigger an automatic adjustment of water chemistry with various chemicals held on the system in tanks. Confirmation of the injection of chemicals is accomplished with gravimetric methods and measured chemical change to the system. Deviations from baseline chemical characteristics can trigger injections of chemicals depending on the specific variation.

A transmitter includes a distributor that receives a stream of digital video samples and distributes the digital video samples into vectors in a buffer per a permutation. A digital-to-analog converter (DAC) per vector receives from its corresponding vector the digital video samples and converts the digital video samples into analog video samples. Each source driver includes a collector that receives analog video samples from each DAC and stores the analog video samples of the corresponding vector, and amplifiers that receive the stored analog video samples in parallel from the collector and amplifies the stored analog video samples onto a column of the display panel. Synchronization uses modified MFM and sample phase alignment. The source drivers are integrated with the substrate of the display panel using transistors. An AR / VR headset uses analog video transport between processor and visor and transmits and receives wirelessly.

Devices, systems, and methods for digital video coding, which includes matrix-based intra prediction methods for video coding, are described. In a representative aspect, a method for video processing includes encoding a current video block of a video using a matrix intra prediction (MIP) mode in which a prediction block of the current video block is determined by performing, on previously coded samples of the video, a boundary downsampling operation, followed by a matrix vector multiplication operation, and selectively followed by an upsampling operation; and adding, to a coded representation of the current video block, a syntax element indicative of applicability of the MIP mode to the current video block using arithmetic coding in which a context for the syntax element is derived based on a rule.

The invention relates to a control system and method of a crawler-type obstacle crossing robot, the system comprises a machine end and a handheld end, the machine end comprises a control module, a driving mechanism, an environment sensing module, an analysis processing module and a navigation positioning module; the control module is electrically connected with the driving mechanism, the environment sensing module, the analysis processing module and the navigation positioning module. The handheld end comprises a main control module, a digital image transmission module, a display screen, a vibration module and an operation key position. By integrating manual remote control, autonomous control and following modes, the obstacle crossing robot is endowed with diversified operation capacity, and the intelligent operation requirement of a complex scene is met; the application of the MRAN-AOD-Net model ensures that the environment sensing module accurately obtains obstacle information under extremely severe conditions, and improves the effectiveness of an obstacle crossing strategy and the stability of task execution; and in the aspect of path planning, it is ensured that a path is accurately reproduced during tracking operation, the operation difficulty is reduced, and the operation efficiency is improved.

The technology relates to an artificial intelligence (AI) driven tool that can enhance existing digital video components and simplify and automate the creation of new digital video components. The techniques include a digital video component creation tool that generates a digital video component using existing material, an out-of-picture tool that may add an out-of-picture generated from text to the video component, and a video component evaluation tool that may evaluate whether the video component conforms to an attribute associated with an optimal practice of a video creative.